Art

J-GLOBAL ID：201902261075027244   Reference number：19A2035568

A risk-based modeling approach for radiation therapy treatment planning under tumor shrinkage uncertainty

腫瘍縮小不確実性下の放射線治療計画のためのリスクベースモデリングアプローチ【JST・京大機械翻訳】

Author (4)： Lim Gino J. (Department of Industrial Engineering, University of Houston, 4800 Calhoun Road, Houston, TX 77204, USA) ,  Kardar Laleh (PROS Revenue Management, Houston, TX 77002, USA) ,  Ebrahimi Saba (Department of Industrial Engineering, University of Houston, 4800 Calhoun Road, Houston, TX 77204, USA) ,  Cao Wenhua (Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA)
Material： European Journal of Operational Research  (Eur J Oper Res)
Volume： 280  Issue： 1  Page： 266-278  Publication year： 2020 
JST Material Number： A0547A  ISSN： 0377-2217  Document type： Article
Article type： 原著論文  Country of issue： Netherlands (NLD)  Language： ENGLISH (EN)

Abstract/Point： Robust optimization approaches...

Register(free) or Log In to access     To see more with JDream III (charged).   {{ this.onShowAbsJLink("http://jdream3.com/lp/jglobal/index.html?docNo=19A2035568&from=J-GLOBAL&jstjournalNo=A0547A") }}

Thesaurus term： probability distribution ,  *modeling ,  optimization ,  *therapeutic planning ,  lung tumor ,  *tumor regression ,  *uncertainty ,  radiation dose ,  robustness ,  *tumor ,  radiotherapy
Semi thesaurus term： 器官 ,  腫瘍標的 ,  健康 ,  *放射線治療計画 , 【Automatic Indexing@JST】

Author keywords (5)： OR in medicine ,  Radiation therapy planning ,  Tumor shrinkage ,  Risk management ,  CVaR

JST classification (2)： Other methods of operations research  (KA03070E) ,  Operations research in general  (KA03010Q)

Terms in the title (3)： 腫瘍縮小 ,  不確実性 ,  放射線治療計画